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Tailoring of the thermal, mechanical and dielectric properties of the polypropylene foams using gamma-irradiation
Published 2016“…This study investigate the influence of gamma-irradiation (GI) doses from 0 up to 50 kGy on the polypropylene (PP) foams, mainly the impact on their structural and physical properties. …”
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Optimization of performance and emission characteristics of CI engine fueled with Jatropha biodiesel produced using a heterogeneous catalyst (CaO)
Published 2020“…The optimum performance and emission characteristics (BP, BTHE, HC and NOx) are found to be 2.258 KW, 29.05%, 6.31 ppm, and 159.5 ppm respectively. The performance of B20 fueled engine was almost comparable to that of diesel fuel. …”
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Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy
Published 2021“…The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). The first wave of the pandemic outbreak of the novel Coronavirus (SARS-CoV-2) began in September 2019 and continued to March 2020. …”
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The Separation of Emulsified Water/Oil Mixtures through Adsorption on Plasma-Treated Polyethylene Powder
Published 2021“…The efficiency of the plasma-treated LDPE powder in oil removal was found to be dependent on the initial oil concentration. It decreased from 96.7% to 79.5% as the initial oil concentration increased from 75 ppm to 200 ppm. …”
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The separation of emulsified water/oil mixtures through adsorption on plasma-treated polyethylene powder
Published 2021“…The efficiency of the plasma-treated LDPE powder in oil removal was found to be dependent on the initial oil concentration. It decreased from 96.7% to 79.5% as the initial oil concentration increased from 75 ppm to 200 ppm. …”
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Novel fluorinated surfactants for enhanced oil recovery in carbonate reservoirs
Published 2016“…Core flooding experiments showed 42 % additional oil recovery using 2.5 g/L (2500 ppm) HPAM and 0.001 g/g (0.1 mass%) amphoteric surfactant at 90 °C.…”
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A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact
Published 2020“…The results showed a decrease in the MSE of Vmp by 74.3% (from 1.6 V to 0.411 V), and in the MSE of Imp by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …”
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Development of pH-Controlled Aluminum-Based Polymeric Gel for Conformance Control in Sour Gas Reservoirs
Published 2020“…The results reveal that aluminum acetate, among the screened salts, has a controllable gelation time at pH conditions between 3.5 and 8.5 and is the most stable in the temperature range 25–100 °C. …”
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Estimation of Mechanical Properties of Copper Powder Filled Linear Low-Density Polyethylene Composites
Published 2022“…ANN is a network motivated by biological neural networks. …”
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Assessment of SnO2 nanoparticles' impact on local Pichoclorum atomus growth performance, cell morphology and metabolites content
Published 2021“…Chemosphere, 71 (2008), pp. 1308-1316.…”
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Representation of Adsorption Data for the Isopropanol-Water System using Neural Network Techniques
Published 2005“…Water uptake increases as the water content in the feed decreases from 16?% to 10?%. Although the GAB isotherm model was found to be applicable to the water vapor sorption data on the adsorbents examined, the ANN model fitted the equilibrium data more efficiently.…”
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Resistive room temperature LPG sensor based on a graphene/CdO nanocomposite
Published 2019“…The CdO/graphene composite was deposited as a film on interdigitated electrodes (IDEs) which then were used for chemiresistive sensing of liquid petroleum gas (LPG) by using a four probe technique. A Resistivity decreases significantly upon exposure to a LPG. The electrical resistance measurement at a constant bias voltage of 0.5 V. …”
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The influence of aeration scheme and aeration rate on the permeate flux for wastewater treatment using membrane bioreactors: Experimental and artificial neural network modeling
Published 2021“…The experimental data were used to develop an artificial neural network (ANN) model, which showed excellent agreement (R2 = 0.9963) with the data. …”
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Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …”
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Evaluation of the inhibition performance of piperazine-based polyurea towards mild steel corrosion: The role of keto-enol tautomerization
Published 2022“…The presence of PUCorr at 100 ppm decreases the corrosion current density from 30.3 to 3.05 μA/cm2 in 0.5 M NaCl at room temperature, exhibiting a remarkable inhibition efficiency of 94.5%. …”
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Aldehyde dehydrogenase expression in Metaphire posthuma as a bioindicator to monitor heavy metal pollution in soil
Published 2016“…The ALDH activity was found to be highest in worms cultured in 5 ppm heavy metal contaminated soils. Although, ALDH activities decreased as the heavy metal concentration in soil increased, they were significantly higher when compared to control worms cultured in uncontaminated soils. …”
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